文献类型：期刊文献

英文题名：Scenario-based DEA assessment of energy-saving technological combinations in aluminum industry

作者：Guo, Ying[1];Yu, Yadong[2];Ren, Hongtao[2];Xu, Lei[3]

机构：[1]Cent South Univ, Sch Energy Sci & Engn, Lushan South Rd 932, Changsha 410083, Peoples R China;[2]East China Univ Sci & Technol, Sch Business, Meilong Rd 130, Shanghai 200237, Peoples R China;[3]KIT, Inst Technol Assessment & Syst Anal ITAS, Karlstr11, D-76133 Karlsruhe, Germany

年份：2020

卷号：260

外文期刊名：JOURNAL OF CLEANER PRODUCTION

收录：;EI(收录号：20201208318064);WOS:【SSCI(收录号:WOS:000531561700009)，SCI-EXPANDED(收录号:WOS:000531561700009)】；

基金：The authors thank the financial support from the Scientific Project of Hunan Province of China (2013RS4051), the Social Science and Humanity on Young Fund of the Ministry of Education (15YJC790136), and the National Natural Science Foundation of China (71961137012,71704055).

语种：英文

外文关键词：Aluminum industry; Energy-saving technology; Data envelopment analysis; Life cycle analysis

摘要：This study deals with technology evaluation by employing the data envelopment analysis (DEA) methodologies from a life-cycle analysis (LCA) perspective. Aluminum production is associated with high electricity consumption. Thus, the environmental pressures of the whole production chain largely rely on the electricity generation process. This is particularly true for China, because coal-fired power generation dominates China's electricity supply. Many of aluminum plants in China consume electricity which is directly supplied by coal-fired plants. Given these facts, LCA perspective in this study is believed to be of distinctive significance. Therefore, this paper discusses the process requiring high-energy consumption and causing high pollution from the LCA perspective and combines data envelopment analysis with LCA to evaluate and select energy-saving technological routes throughout for the complete supply chain. In total, 16 technological combinations are considered, and three models are established for different sets of efficiency indicators: energy performance indicator, energy performance indicator with undesirable output, and total performance indicator. Moreover, four scenarios with different policy considerations are designed: baseline scenario, subsidy scenario, low-carbon-price scenario, and high-carbon-price scenario. The results show that upon only considering energy input and output at the same price, a power generation mode has the greatest impact on energy consumption. After considering undesirable output, such as pollutant emissions, the technological routes including coal-fired power generation have the worst performance. Considering all inputs and outputs with the same price, the most crucial factor affecting efficiency is cost, followed by anode; subsidies have a low effect. For the four scenarios, two technological routes including a biomass-integrated gasification combined cycle power generation and inert anode rank in the top 50% decision-making units with three efficiency indices. This paper proposes an effective decision-making method for evaluating and selecting energy-saving technology routes for the aluminum industry, which can be easily applied to other sectors with similar characteristics. This provides a generic framework for a profound analysis to promote clean production and environmental sustainability. (C) 2020 Elsevier Ltd. All rights reserved.